Noritaka Sekiyama
ABSTRACT
Traffic surveillance is an important facet of computer vision. In this paper, we propose a method for predicting collisions between vehicles from traffic monitoring movies. In our method, future behaviors of vehicles are transformed into spatial regions called Attainable Regions (ARs). Collisions are predicted by checking whether these two different ARs overlap each other. From experimental results, we show the feasibility of developing a collision-warning system by using ARs.
- Hu, W., et al.: A survey on visual surveillance of object motion and behaviors. IEEE Trans. SMC, Part C 34 (2004) 334--352 Google Scholar
Digital Library
- Zhang, Z., et al.: Boosting local feature descriptors for automatic objects classification in traffic scene surveillance. In: ICPR '08. (2008)Google ScholarCross Ref
- Kiryati, N., et al.: Real-time abnormal motion detection in surveillance video. In: ICPR '08. (2008)Google ScholarCross Ref
- Morris, B., Trivedi, M.: An adaptive scene description for activity analysis in surveillance video. In: ICPR '08. (2008)Google ScholarCross Ref
- Saunier, N., et al.: Probabilistic collision prediction for vision-based automated road safety analysis. In: ITSC '07. (2007) 872--878Google ScholarCross Ref
- Atev, S., et al.: A vision-based approach to collision prediction at traffic intersections. IEEE Trans. ITS 6 (2005) 416--423 Google ScholarDigital Library
- Saleemi, I., et al.: Probabilistic modeling of scene dynamics for applications in visual surveillance. IEEE Trans. PAMI 31 (2009) 1472--1485 Google ScholarDigital Library
- Hu, W., et al.: A system for learning statistical motion patterns. IEEE Trans. PAMI 28 (2006) 1450--1464 Google ScholarDigital Library
- Chen, T., et al.: Computer vision workload analysis: Case study of video surveillance systems. Intel Technology Journal 9 (2005) 108--119Google Scholar
- Next Generation Simulation (NGSIM) Community: NGSIM data sets. http://www.ngsim-community.org/(2010)Google Scholar
Index Terms
- Prediction of collisions between vehicles using attainable region
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